{"id":"W2405511894","doi":"10.3357/amhp.4633.2016","title":"3D Printing Applications for Space Missions","year":2016,"lang":"en","type":"article","venue":"Aerospace Medicine and Human Performance","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Hum; Space (punctuation); Space suit; Aeronautics; Aerospace engineering; Space Shuttle; Space exploration; Computer science; Engineering; Astrobiology; Physics; History; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169397,0.0001334592,0.0001505958,0.00007350076,0.000264058,0.000009417939,0.0001186261,0.00005700857,0.00003837279],"category_scores_gemma":[0.00004192807,0.00008474874,0.00001912673,0.00005889414,0.0001824475,0.00007917737,0.00004723044,0.00009268027,0.00001225609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001951779,"about_ca_system_score_gemma":0.000003764292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003161793,"about_ca_topic_score_gemma":0.000003782945,"domain_scores_codex":[0.9993969,0.00000309078,0.0001312846,0.0001697686,0.000069231,0.0002297377],"domain_scores_gemma":[0.9995389,0.0001194593,0.00003500826,0.0002225478,0.00003041197,0.00005366144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000159551,0.00004301241,0.01895316,0.001214736,0.0001209613,0.000001795296,0.001401573,0.0001600716,0.09587712,0.04063442,0.04761722,0.79396],"study_design_scores_gemma":[0.00195177,0.0003843571,0.03007048,0.001164839,0.00006870456,0.00001668671,0.0005979767,0.001575419,0.1267772,0.002739812,0.8339171,0.0007356625],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141685,0.0002832033,0.07618301,0.002302495,0.00009694139,0.0004019268,0.000006262635,0.001075136,0.0054825],"genre_scores_gemma":[0.9936264,0.0002983259,0.003829412,0.0000307074,0.0002012774,0.0001552449,0.00000317887,0.00002312417,0.001832303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7932243,"threshold_uncertainty_score":0.3455953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02213504422665557,"score_gpt":0.2552844986823767,"score_spread":0.2331494544557212,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}